Gender: Male 
Age: 25-34
Nationality: United States
Ethnicity: White / Caucasian;Hispanic 
Marital status: Single 
First language: English 
Religion: Nothing 
Education: Undergraduate degree
Mother's education: Undergraduate degree
Father's education: Undergraduate degree
Self-assessed socioeconomic status (1-10): 4
Home: Own 
Employment: Employed full time
Occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Mother's occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Father's occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Hobbies: Listen to rock/indie music;Exercise;Use social media;Do arts and crafts;Other (Please specify) play video games
Devices used daily: Laptop;Smartphone;Tablet 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
NLP tools they would find useful: Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
Frequency of LLM use: Sometimes
LLMs used: ChatGPT;Claude;Google Gemini;Microsoft Bing AI;Character.AI 
LLM use cases: Writing (e.g., composing emails);Brainstorming;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Summarizing long texts 
Contexts of LLM use: Entertainment;Personal;Creative or artistic;Technical 
Prompt 1: Alright, i want to workshop a magic system for a homebrew DND style campaign, i'm thinking something related to runes akin to scandinavian myth.
Prompt 2: i'm thinking something more kinetic, you 'can't throw lightning bolts but runes carved on certain conductive metals activated and thrown call down lightning or something like that, and that would apply for the rest.
Prompt 3: Less X object carved with X rune calls down lightning strike and more X object like say... dagger now has an electrified blade, it needs to fit with the overall theme of the weapon not just have one catch all effect
Prompt 4: sounds like a good approach but i want a sense of scarcity, i don't want 'random joe 24' just able to walk into a shop and get unfathomable magic power.
Prompt 5: interesting, expand on that.
Prompt 6: keep going.
Prompt 7: reel in the echoes and the more fantastical part, i want it more grounded to be more middle fantasy rather than high fantasy.
Prompt 8: interesting... and now start generating ideas on how they might come about, keep in mind the scarcity of it so i'm thinking only a limited amount of people can actually inscribe runes and the stuff people find laying around is all either or, or got pulled off someone.
Prompt 9: very interesting, keep going and generate more.
Prompt 10: i like it, generate more effects.